Compat

Project.toml

@@ -1,7 +1,7 @@
 name = "DerivableFunctions"
 uuid = "b86e32d1-1d4d-4472-88d2-1980e9d19c92"
 authors = ["Rafael Arutjunjan"]
-version = "0.1.2"
+version = "0.1.3"
 
 [deps]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
@@ -16,9 +16,9 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 DataFrames = "1"
 FiniteDifferences = "0.11, 0.12"
 ForwardDiff = "0.10"
-ModelingToolkit = "5, 6, 7"
+ModelingToolkit = "5 - 8"
 ReverseDiff = "1.8, 1.9"
-Symbolics = "2, 3, 4"
+Symbolics = "2 - 4"
 Zygote = "0.6"
 julia = "1"
 

docs/src/Operators.md

@@ -79,13 +79,13 @@ end
 Clearly, this simplified implementation features some redundant evaluations of the inverse metric and could be made more efficient.
 Nevertheless, it nicely illustrates how succinctly complex real-world examples can be formulated.
 
-Given the metric tensor ``g(\\theta, \\phi) = \\mathrm{diag}(1, \\mathrm{sin}(\\theta))`` induced by the canonical embedding of ``S^2`` into ``\\mathbb{R}^3`` with spherical coordinates, it can be shown that the Ricci scalar assumes a constant value of ``R=2`` everywhere on ``S^2``.
+Given the metric tensor induced by the canonical embedding of ``S^2`` into ``\\mathbb{R}^3`` with spherical coordinates, it can be shown that the Ricci scalar assumes a constant value of ``R=2`` everywhere on ``S^2``.
 ```julia
 S2metric((θ,ϕ)) = [1.0 0; 0 sin(θ)^2]
 2 ≈ RicciScalar(S2metric, rand(2); ADmode=Val(:ForwardDiff)) ≈ RicciScalar(S2metric, rand(2); ADmode=Val(:ReverseDiff))
 ```
 
-(In this particular instance, due to a term ``\\mathrm{cos}(\\theta) \\, \\mathrm{sin}(\\theta) / (\\mathrm{sin}(\\theta))^2`` in the `ChristoffelSymbol` where the ``\\mathrm{sin}(\\theta)`` in the numerator does not cancel with the identical term in the denominator, the symbolic computation does not recognize the fact that the final expression can be simplified to yield exactly ``R=2``.)
+(In this particular instance, due to a term in the `ChristoffelSymbol` where the `sin` in the numerator does not cancel with the identical term in the denominator, the symbolic computation does not recognize the fact that the final expression can be simplified to yield exactly ``R=2``.)
 ```julia
 using Symbolics;  @variables p[1:2]
 RicciScalar(S2metric, p)